Job Title: Sr. Platform Engineering
Location Address: Hybrid – Toronto. open to remote for very strong candidates
target start date: July 15 2025
Duration: 6 months
Possibility of extension & conversion to FTE – yes
Number of Positions: 1
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Reason: Additional Workload
Story Behind the Need
• Business group: Detail LOB & team’s purpose at the bank – GWAM LOB & platform engineering team working on building Data & AI platforms catering to projects driving business requirements.
• Project: Detail key projects – This specific project includes building Data & AI platforms in Azure cloud infrastructure using DevOps & IaC tools. Building AIOps capabilities using tools like Log analytics workspaces & Moogsoft.
Candidate Value Proposition
• The successful candidate will have the opportunity to work in a high performing and team building environment. This candidate will have the opportunity to learn and contribute to latest tech stack including data /AI / GenAI stacks etc.,
Typical Day in Role
• Build platforms using pre-defined modules of IaC and Devops tools
• Respond to production issues
• Build platforms required for AIops capabilities
• Schedule meetings with stakeholders, security, risk and architecture teams to build the required outcome/products with all risk/security guardrails.
•Manage JIRA tasks and participate in daily and weekly team standups.
Candidate Requirements/Must Have Skills:
1) Terraform – 7+ years of experience. hands-on experience required.
2) Jenkins & Groovy scripting – 5+ Years of experience
3) Azure cloud infrastructure deployment and management – 7 + years
4) Databricks or other Datalake /lakehouse platform build and administration experience – 3 + years.
5) APIM /APIOps – 5 + years of experience
Nice-To-Have Skills:
– AI/ GenAI stack – build and Ops management
– Experience working in/with Data & Analytics projects.
– Platform Automation experience using Python or other scripting /tool experiences.
– Soft skills – good communication and documentation skills .
Education:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• Certifications
Best vs. Average: Solid in technical skills. Require candidates to be open-minded to learning new technology, strong team player and drive outcomes/value based works within time and resources provided.
Candidate Review & Selection
• # Step Process: 2 rounds – technical round (hard skill evaluations) and Manager discussion /soft skill round.
Additional Notes
• Any additional details to share with Suppliers (i.e. team/cultural fit, professional background preference, etc.)
Team player and highly independent at work – ensuring he/she is able to pick the knowledge and be able to contribute to time-bound projects.